Kafka DevOps Engineer

EITAcies, Inc.

San Francisco, CA, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.wayup.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Microsoft Azure Computer Programming Software Debugging DevOps Github Monitoring of Systems Python (Programming Language)

+15 more

NoSQL Performance Tuning Reliability Engineering Software Deployment Software Vulnerability Management Generative AI Git Cloudformation Kubernetes Infrastructure Automation Frameworks Apache Kafka Virtual Agents Terraform Network Server AWS EKS

Job description

Build, manage, and support Kafka and NoSQL platforms in production environments. * Design, implement, and maintain scalable platform architectures and deployment solutions. * Develop and maintain automation tools for infrastructure provisioning, monitoring, and operational workflows. * Integrate AI/GenAI capabilities into operational tools and platform management processes. * Design and implement CI/CD pipelines and Infrastructure as Code solutions. * Execute and manage code deployments across development, testing, staging, and production environments. * Troubleshoot and resolve platform, infrastructure, and application issues across all environments. * Monitor system performance, reliability, availability, and security, and drive continuous improvements. * Collaborate with development, operations, and architecture teams to improve platform efficiency and developer productivity. * Drive operational excellence through automation, observability, reliability engineering, and proactive issue resolution.

Requirements

8+ years of overall IT industry experience. * 5+ years of hands-on experience with Kafka or NoSQL technologies. * Strong programming skills in Python and/or Java, with a focus on automation and tooling. * Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Git, CloudFormation, and Terraform. * Experience with at least one cloud platform: AWS, Azure, or Kubernetes-based environments. * Experience building AI-powered solutions, MCP Servers, Agentic AI systems, or GenAI-based automation tools. * Strong Linux/Unix administration and troubleshooting experience. * Excellent analytical, debugging, problem-solving, verbal, and written communication skills., * Experience with DevOps and Site Reliability Engineering (SRE) practices. * Strong production support, incident management, issue triaging, and root cause analysis experience. * Experience with Docker and Kubernetes administration, deployment, and performance tuning. * Knowledge of security best practices, vulnerability management, CVE analysis, and monitoring cloud/system/device logs. * Experience designing self-service platforms and operational automation solutions., A self-driven engineer who can take ownership of complex platform challenges, build innovative automation and AI-driven solutions, communicate effectively with stakeholders, and operate with minimal supervision in a fast-paced production environment. Amazon Web Services (AWS) No 2-5 Years Is Required Amazon Web Services S3 (AWS S3) No 2-5 Years Is Required Amazon Web Services EKS (AWS EKS) No 2-5 Years Is Required Apache Kafka No 2-5 Years Is Required Artificial Intelligence No At least 1 year Is Required AWS-EC2 No 2-5 Years Is Required GitHub No 2-5 Years Is Required Kubernetes No 2-5 Years Is Required NoSQL No 5-10 Years Is Required python No 5-10 Years Is Required